* updated gen_wts script to support yolov5 classfication model export

* updated yolov5-s architecture to support classification head.

* updated yolov5_trt infer script to support yolov5 classification model alongwith existing detection model.

* added imagenet_classes file to load list of 1k classes required for the infer script.

* final conv block doesn't require dynamic scale factor for out channel, hence hardcoded value provided to support all model varients

* yolov5.cpp reverted back to original state, with explicit code changes

* python infer script reverted back to prior state, with explicit code changes

* seperate cpp file added for yolov5 classification task

* cmake updated for yolo5 classification file

* seperate python infer script for classification task

* cmake updated by replacing cuda_add_executable with add_executable

* default value added to the type argument

* post-processing removed from yolov5 clasisifcation module

* pre-processing for yolov5 classification inferencing

* classification macro removed from the original yolov5 detection cpp file

* reverted some extremely minor formatting changes.

* reverted back to prior state by removing all formatting changes.

* yolov7 v0.1

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update yololayer.h

* Update yololayer.h

* Delete yolov7.engine

* Delete yolov7-tiny.engine

* Delete yolov7/output directory

* Delete dirent.h

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* update gen_wts.py and some yolov5's names

* Update gen_wts.py

fix to load engine file in DeepStream 6.1.1

Attach the decode kernel to the same CUDA stream

* add simplified Logger class

* add modified yolop tensorrtx implementation

* add gen_wts.py

* add CMakeLists.txt

* add yolop tensorrtx README.md

* fix yolop spelling

* simplify yolop code

* fix yolop README.md

Co-authored-by: aliceint(zhanglj) <[email protected]>